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  • 标题:An Improved Output Feedback MPC scheme for Constrained Linear Systems * * The research leading to these results has received funding from the European Commission under grant agreement number 291458 (MOBOCON)
  • 本地全文:下载
  • 作者:Sankaranarayanan Subramanian ; Sergio Lucia ; Sebastian Engell
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:15506-15511
  • DOI:10.1016/j.ifacol.2017.08.2118
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe propose an output feedback model predictive control (MPC) scheme that is independent of the estimation method employed. The proposed approach is non-conservative by design as the feedback information subject to estimation errors is explicitly considered in the predictions. The proposed scheme is robust to both the plant-model mismatch and the estimation error and avoids the unnecessary conservatism introduced by other existing output feedback MPC approaches in the literature. We achieve this by making use of all the available information at every time-step and formulate a control policy with the assumption that bounds for the estimation error are available at all times. We show that the proposed scheme is recursively feasible and demonstrate its advantages using a double-integrator example.
  • 关键词:KeywordsRobust Model Predictive ControlOutput FeedbackMulti-stage MPCConstrained systems
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